Assessing the Neutrality of Edits on Wikipedia

C. Porios, L. Guerin, and B. Schneier

Wiki Workshop (11th edition), June 20, 2024.

We built a custom machine learning classifier that assesses the neutrality of edits on Wikipedia, using the ongoing conflict in the Gaza strip as a case study. Our classifier determines if an edit increases, decreases, or does not affect the Neutral Point of View of an article, as per the Wikipedia definition. This study is a work in progress.

Keywords: Wikipedia, neutrality, NPOV, content bias, information quality

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Categories: AI/LLMs

Sidebar photo of Bruce Schneier by Joe MacInnis.